class_docstr: Dummy Forecaster for initial pycaret pipeline
code: def _fit(self, y, X=None, fh=None):
      self._fh_len = None
      if fh is not None:
          self._fh_len = len(fh)
      self._is_fitted = True
      return self
  
file_path: pycaret/pycaret/utils/time_series/forecasting/models.py
imports: import pandas
  from sktime.forecasting.base import BaseForecaster
  from pycaret.utils.time_series import TSExogenousPresent
label_desc: Use image node_id 1 for calling the DummyForecaster obj's underlying member method code with example usage: obj._fit(y, X, fh) and returns: self